Integrating AI into Legacy Financial Crime Compliance (FCC) Systems

Modernizing Financial Crime Compliance (FCC): Integrating AI into Legacy FCC Systems

As financial crime grows in complexity and scale, legacy compliance systems are increasingly under strain, impacted by high false positives, fragmented data, and manual, resource-intensive processes. Coforge presents a strategic roadmap to help financial institutions modernize their Financial Crime Compliance (FCC) frameworks through the seamless and minimally disruptive integration of Artificial Intelligence (AI).

This paper outlines Coforge’s phased approach to embedding advanced AI capabilities, including behavioral profiling, real-time monitoring, and predictive analytics into existing infrastructures. It emphasizes foundational pillars such as data standardization, cloud adoption, and responsible AI governance, while offering a comparative view of traditional versus AI-enhanced FCC models.

Enriched with use cases, global case studies, regulatory insights (covering FinCEN, GDPR, DORA, and the EU AI Act), and Coforge’s Gen AI-powered solutions, the paper equips compliance leaders with practical strategies to reduce operational costs, enhance detection accuracy, and maintain alignment with evolving regulatory landscapes. The future of FCC is intelligent, adaptive, and within reach.